Lauren Ancel Meyers
Statistical and Nonlinear Physics · 2002–2020
A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 24 citations into it; #8,089 of 10,127 by trust here, #2,708 by citations
- Modeling and Simulation — 21 citations into it; #1,657 of 2,105 by trust here, #327 by citations
- Public Health, Environmental and Occupational Health — 9 citations into it; #1,994 of 2,368 by trust here, #842 by citations
Whom Lauren Ancel Meyers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Romualdo Pastor-Satorras
- Hirotugu Akaike
- Duncan J. Watts
- B. Pourbohloul
- Steven H. Strogatz
- Alessandro Vespignani
- Albert-László Barabási
- Geoffrey E. Hinton
Who trusts Lauren Ancel Meyers overall
- M. Keeling
- M. Mameli
- R. Nesse
- Cecilia Heyes
- Timothy C. Reluga
- John A. Bullinaria
- S. Sommer
- Zhen Wang
- Marcel Salathé
- Shweta Bansal
Papers from Lauren Ancel Meyers's perspective
Ordered by how strongly the researchers Lauren Ancel Meyers trusts endorse each paper. Same corpus, a different order for every researcher.
- Collective dynamics of ‘small-world’ networks
- Epidemic spreading in scale-free networks. (Physical Review Letters)
- Infectious diseases of humans: Dynamics and control
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Emergence of Scaling in Random Networks
- Classes of small-world networks. (Proceedings of the National Academy of Sciences of the United States of America)
- Infection dynamics on scale-free networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- The Mathematical Theory of Infectious Diseases and Its Applications
- The web of human sexual contacts (Nature)
- How Viruses Spread Among Computers and People (Science)
Their papers
- Fighting change with change: adaptive variation in an uncertain world (2002) — 351 citations
- Serial Interval of COVID-19 among Publicly Reported Confirmed Cases (2020) — 602 citations
- Reinforcement Learning for Optimization of COVID-19 Mitigation Policies (2020) — 64 citations
- When individual behaviour matters: homogeneous and network models in epidemiology (2007) — 766 citations
- Predicting epidemics on directed contact networks. (2006) — 300 citations
- Network theory and SARS: predicting outbreak diversity (2004) — 765 citations
- Evolution and learning: The Baldwin effect reconsidered (2004) — 186 citations
- EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS (2003) — 628 citations